如何在 pandas 中遍历包括索引列在内的列名

只想遍历你的 DataFrame 的列名***不包括索引列？***请参见如何在 pandas 中遍历列名！

为了遍历所有列名包括索引列名，使用

include_index.py

for column_name in [df.index.name] + list(df.columns):
    print(column_name)

for column_name in [df.index.name] + list(df.columns):
    print(column_name)

例如，我们可以打印 TechOverflow 时间序列示例数据集的所有列名（包括索引列）：

include_index_example.py

import pandas as pd

# 加载预构建的时间序列示例数据集
df = pd.read_csv("https://datasets.techoverflow.net/timeseries-example.csv", parse_dates=["Timestamp"])
df.set_index("Timestamp", inplace=True)

for column_name in [df.index.name] + list(df.columns):
    print(column_name)

import pandas as pd

# 加载预构建的时间序列示例数据集
df = pd.read_csv("https://datasets.techoverflow.net/timeseries-example.csv", parse_dates=["Timestamp"])
df.set_index("Timestamp", inplace=True)

for column_name in [df.index.name] + list(df.columns):
    print(column_name)

将打印

include_index_output.txt

Timestamp
Sine
Cosine

Timestamp
Sine
Cosine

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